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I had an idea how to, with minimal effort, add more functionality to MLJ that could be first steps towards tracking and colocalisation analysis.
Essentially the idea is to have one module where the input are two label mask images (labelsA, labelsB). The output would be a results table with relational information such as overlap and closeness of the difference labels in the two images.
For example things like this:
labelA
labelB_IndexClosestCentroid
labelB_maximalOverlap
numPixelsOverlap
1
4
4
1024
2
3
10
501
3
5
5
10
What do you think? Should we try to add something like this?
The text was updated successfully, but these errors were encountered:
Hi!
I see the idea, this could be useful for comparing segmentation results, or for validating registrations.
I think Ignacio coded several functions for comparing label images, it seems this could be related.
I need to maturate a little bit about it, but why not?
@manerotoni @dlegland
I had an idea how to, with minimal effort, add more functionality to MLJ that could be first steps towards tracking and colocalisation analysis.
Essentially the idea is to have one module where the input are two label mask images (labelsA, labelsB). The output would be a results table with relational information such as overlap and closeness of the difference labels in the two images.
For example things like this:
What do you think? Should we try to add something like this?
The text was updated successfully, but these errors were encountered: